Description Of Procedure, Data Collection, And Data Analysis
Draft Description of Procedure, Data Collection, and Data Analysis
For this post, describe how you will collect data, the instruments used to collect the data, and how the collected data will be prepared for interpretation and analysis. Complete the following:
- Write your research question at the top of the post.
- Use the research question to identify the procedure:
- Introduce your procedure section of the methodology by providing a rationale for the chosen data-collection strategy.
- Be sure that your data-collection strategy aligns with your research question, recruitment strategy, and choice of participants.
- Describe how data will be collected.
- Describe who will be collecting data.
- Describe where data collection will take place.
- Describe how long data collection will take.
- Will it take place one time or over a series of meetings?
- Will the time spent collecting data be the same or different for all participants?
- Will there be different time frames for various participant groups or are all participants engaged in the same data-collection procedures?
- If testing an intervention, describe the planning and the nature of the intervention.
- Describe where, how long, and who is engaged in the intervention.
- If you are interviewing participants, describe how you will record the interviews and how you will transform recordings into transcripts or actual data.
- If you are observing instances of specific behaviors, describe how they will be recorded and who will record them.
- Include examples of your data-collection instrument.
- Instruments can be surveys, recording sheets, checklists, surveys, records, questionnaires, interview guides, or lists of open-ended interview questions.
- Explain how your instrument aligns with your research question.
- Upload your discussion post as a Word document set in 12-point Times New Roman, with all sources cited in current APA style and format. In addition, please copy and paste the document content into the message box for your post submission.
Note: As you prepare this post, be sure to recognize the limitations of your study. Try to anticipate the questions a reader will have and identify problems to be researched next to extend your findings into new areas.
ï»¿For qualitative studies, use thematic analysis. This strategy, which relies on coding, allows you to sort through the words, observations, phrases, and concepts of transcribed narrative data. The goal is to identify the categories of meaning and the themes that emerge across transcripts, documents, and data forms, and that support specific interpretations of meaning offered by participants. Use examples to describe how you will interpret narrative data.
It is helpful to address aspects of trustworthiness, dependability, transferability, credibility, authenticity, confirmability, rigor, triangulation, member checking, and other considerations associated with scientific merit in qualitative research as appropriate to the research question.
For quantitative studies, identify variables and discrete units of measure that can be compared statistically to represent, describe, and explain observations of natural phenomena. You will describe how numerical values are obtained, interpreted, and understood. Typically, you will explain which statistic applies to the identified variables; it is important to supply your rationale for choosing that statistical measure.
It is helpful to address reliability—the degree of consistency and accuracy—and validity, or whether the measure tests what it is intended to test. It is also helpful to address generalizability and strategies associated with scientific merit in quantitative research. Use charts, diagrams, and other examples as needed.
When you submit your post, include all of Chapter 3, from the introductory paragraphs to the analysis section. Be sure to revise your introductory paragraphs for this chapter by including a short overview of the procedure and the analysis sections of Chapter 3. Revise the entire chapter based on feedback from your instructor and peers.